Image Processing Apparatus Restart Necessity Determination
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Solution Overview
Problem
The existing image processing apparatuses require unnecessary restart operations even when only immediately reflected setting values are imported, increasing operator workload and maintenance load due to the inability to determine the necessity of a restart operation accurately, especially when setting values are managed in application-specific formats.
Innovation Solution
An image processing apparatus with a registration unit to determine the necessity of a restart operation by categorizing setting values and a determination unit to assess whether imported data requires a restart, allowing for precise determination of when a restart is necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the import and export function requires a restart operation after importing setting values, then all setting values can be ensured to be reflected, but the operator's working hours increase unnecessarily
Solution Approach 1:
The system changes the parameter of setting value management by introducing categories that distinguish between immediately reflected settings and restart-required settings. This allows the restart requirement to be conditional rather than universal, resolving the contradiction between ensuring reliability and minimizing time loss.
Solution Approach 2:
The setting values are segmented into different categories based on whether they require a restart operation to take effect. This segmentation allows the system to treat different setting values differently during import, enabling selective restart requirements and reducing unnecessary operator time.
2Ease of operation
If the import and export function statically manages a table for determining restart necessity, then restart operations can be controlled, but the maintenance load increases when the number of setting values increases
Solution Approach 1:
The system transitions from a static table management approach to a dynamic category-based management system. Categories can be automatically created and managed by the system based on setting value characteristics, reducing the manual maintenance burden while maintaining control over restart operations.
Solution Approach 2:
The system performs self-service by automatically managing categories and determining restart requirements without requiring manual updates to a static table. When new setting values are added, the system can automatically classify them into appropriate categories, eliminating the need for operator intervention in table maintenance.
3Adaptability or versatility
If setting values are managed in application-specific formats, then application functionality is enhanced, but the import and export function cannot accurately determine restart necessity
Solution Approach 1:
The category-based management system provides universality by serving both application-specific settings and system-level settings through a unified framework. This allows the system to accurately determine restart necessity across diverse setting formats without requiring separate management mechanisms for each application.
Data Source
AI summary
An image processing apparatus includes a registration unit configured to receive a necessity of a restart operation for reflecting setting values of setting data, from a processing execution unit for executing by using the setting data, and to register necessity information in each category corresponding to the processing execution unit, a determination unit configured to determine whether import data includes setting data related to a category registered as a category requiring a restart operation in the registration unit, and a determining unit configured to, based on a result of the determination by the determination unit, determine whether a restart operation is necessary after the import data has been imported.